Top Tech Jobs & Startup Jobs

The SailPoint Architect designs and implements enterprise IAM solutions, leads projects, ensures compliance, optimizes IAM systems, and collaborates with cross-functional teams.

Lead Tableau architecture and administration for Server/Cloud: install, configure, upgrade, monitor health, backups, and migrations. Manage users, permissions, RLS, SSO, and governance. Optimize data sources, extract refresh schedules, and dashboard performance. Provide support and training, collaborate with data engineers to integrate Snowflake, Redshift, and SQL Server. Use TSM, Tabcmd, Tableau REST API and strong SQL; apply data warehousing, ETL, and database management knowledge.

The Client Partner will manage relationships with Life Sciences clients, drive sales strategies, ensure customer satisfaction, and oversee account delivery and growth.

The Lead Data Engineer will focus on Azure Data Engineering, utilizing skills in AKS, Event Hub, Cosmos DB, and Azure DevOps to design and implement data solutions.

Lead data science initiatives, develop and evaluate models, translate business problems into actionable insights, and mentor junior analysts. Collaborate with teams to operationalize AI-driven insights for measurable business impact.

Lead design and delivery of enterprise data warehouse solutions: architect and optimize ETL/ELT pipelines (SAP BODS, DataStage), build scalable data models, tune SQL/Oracle performance, enforce data governance/security, mentor engineers, collaborate with BI and stakeholders, and support L3 production operations with rotational shift coverage.

Design, build, and maintain Tableau dashboards and automated reporting pipelines. Use Python (pandas, NumPy) and advanced SQL to extract, transform, model, and optimize data from cloud warehouses. Implement report automation, version control (Git), RLS/data governance, performance tuning, and translate analyses into business-ready insights for stakeholders.

Testing role that lists Azure Monitoring as the primary required skill. No additional responsibilities or requirements provided; position noted as for testing purposes only.

Lead design, development, and deployment of multi-agent, memory-augmented AI systems using LangGraph and LLM orchestration. Build scalable agent architectures, implement knowledge graphs and vector DBs (Pinecone/Weaviate/FAISS), apply RAG and RLHF/RLAIF, optimize production workflows, run PoCs demonstrating business impact, and mentor AI engineers and data scientists.

Lead the development of mobile test automation, designing frameworks, integrating CI/CD, and performing API and database testing using Agile methodologies.